Ultra Clean Holdings (UCTT) Other Non-Current Liabilities (2010 - 2026)
Ultra Clean Holdings (UCTT) posted Other Non-Current Liabilities of $7.8 million for Q2 2026, unchanged from $7.8 million a year earlier and up 6.8% from the prior quarter.
Ultra Clean Holdings (UCTT) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Other Non-Current Liabilities came in at $6.8 million, up 1.5% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Other Non-Current Liabilities was $6.7 million in FY2024 (-82.0%), $37.3 million in FY2023 (+305.4%), $9.2 million in FY2022 (-28.7%) and $12.9 million in FY2021 (-45.8%).
- Quarterly Other Non-Current Liabilities has run from a low of $6.7 million in Q4 2024 to a high of $38.6 million in Q1 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 22.8%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2024, with growth of 315.1%; the weakest was Q4 2024, with a decline of 82.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $7.3 million (Q1 2026), $6.8 million (Q4 2025) and $7.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 7.80 Mn |
| Mar 27, 2026 | 7.30 Mn |
| Dec 26, 2025 | 6.80 Mn |
| Sep 26, 2025 | 7.80 Mn |
| Jun 27, 2025 | 7.80 Mn |
| Mar 28, 2025 | 7.00 Mn |
| Dec 27, 2024 | 6.70 Mn |
| Sep 27, 2024 | 16.00 Mn |
| Jun 28, 2024 | 14.60 Mn |
| Mar 29, 2024 | 38.60 Mn |
| Dec 29, 2023 | 37.30 Mn |
| Sep 29, 2023 | 9.20 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 9.30 Mn |
| Dec 30, 2022 | 9.20 Mn |
| Sep 30, 2022 | 13.40 Mn |
| Jul 1, 2022 | 13.30 Mn |
| Apr 1, 2022 | 13.20 Mn |
| Dec 31, 2021 | 12.90 Mn |
| Sep 24, 2021 | 13.70 Mn |
Ultra Clean Holdings Other Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "UCTT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();